Download Print.Test.Page.OK 2.917/3/2023 Per_Post –Because each week had a different number of.Vocabulary words, this is the percentage of correct vocabulary on the Per_Pre – Because each week had a different number of.Subtracting the pre-test scores from the post-test scores. RawGain – This is the gain score that was calculated by.All words have two possible points, one for pinyin Post_Sum – This is the total correct score on the.Pre_Sum – This is the total correct score on the.Course – There were two courses, year one (1020) and.Slightly, so this variable counts the number of words in the text read VocabWords – Each week the length of reading varied.Weeks were used a trial run and thus were not included in this data set. Students read one reading per week for ten weeks. Week – This is the week in which the student did the.ID – This is the unique ID for each student in the data. ![]() Language learners of Chinese when reading via traditional format and a Was collected in 2014 and compares vocabulary learning by second On this page you’ll find a brief introduction to R as well as someĮxamples of the analysis that I have run using R in the last fewįor the Analysis below I will be using the EGloss data set.
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